Total 30,905 skills, Data Processing has 1476 skills
Showing 12 of 1476 skills
Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context). Use when asking about market breadth, uptrend ratios, or whether the market environment supports equity exposure. No API key required.
Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 1099-DIV interpretation, REIT/BDC distribution treatment, holding-period checks, or taxable-vs-IRA account placement decisions for dividend assets.
Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.
Complete 9-step Clay enrichment workflow for 90%+ data coverage plus 58 Clay templates across 8 categories. Use when building enrichment workflows, setting up Clay tables, or maximizing data quality.
Verify statistics from raw data with methodology checking, significance testing, claim validation, and bias detection. Use when fact-checking statistical claims, validating research findings, or auditing data analysis.
WNBA data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about WNBA scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, team/player statistics, or WNBA news. Don't use when: user asks about NBA (use nba-data), college basketball (use cbb-data), or other sports.
You must use this when conducting PRISMA-standard systematic reviews, protocol development, or Risk of Bias assessment.
Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
Social media and web scraping using Apify actors. Use this skill when scraping Twitter/X tweets, Reddit posts, LinkedIn posts, Instagram profiles/posts/reels, Facebook pages/posts/groups, TikTok videos, YouTube content, Google Maps businesses/reviews, contact enrichment (emails/phones from websites), or when auto-detecting URL type to scrape. Triggers on requests to scrape social media, get trending posts, extract business info, find contact details, or extract content from social URLs.
Optimizes ClickHouse queries for speed and efficiency. Helps with primary key design, sparse indexes, data skipping indexes (minmax, set, bloom filter, ngrambf_v1), partitioning strategies, projections, PREWHERE optimization, approximate functions, and query profiling with EXPLAIN. Use when writing ClickHouse queries, designing table schemas, analyzing slow queries, or implementing analytical aggregations. Works with columnar OLAP workloads.
Data analysis, visualization, and storytelling skill for financial and RevOps contexts. Use when: analyzing revenue data, building forecasts, cohort analysis, churn modeling, pipeline analytics, creating data-driven reports, building dashboards, cleaning messy data, sanity-checking analytical claims, exporting to Excel with formulas, or extracting data from PDFs. Features decision logging, bias-aware interpretation, and progressive disclosure (slide deck -> detailed report -> full notebook with all decisions documented).
Comprehensive Excel spreadsheet creation, editing, and analysis using openpyxl and xlwings supporting formulas, formatting, data analysis, charts, and financial model color coding. Use when asked to "create a spreadsheet", "edit this Excel file", "analyze spreadsheet data", "preserve Excel formulas", "create financial model", or "recalculate formulas". Implements industry-standard color conventions (blue=inputs, black=formulas, green=internal links, red=external links, yellow=key assumptions) and zero formula error requirements. Works with .xlsx, .xlsm, .csv, .tsv files for professional spreadsheet workflows.